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Only few shallow tools such as ChaSen and TreeTagger are provided by the Language Grid so far.
There are various natural language processing (NLP) functions in HoG which are not provided by the Language Grid, especially the efficient deep analyzers for various languages.
Moreover, hybrid and composite workflows can be defined that consist of combinations of the language components, the main goals being increased robustness and computation of formal semantics representations of natural language utterances.
This paper proposes an enhancement of the integrated architecture of the Language Grid and HoG that extends our previous work presented at the 2008 International Conference on Web Services (Bramantoro et al., 2008). Previously, the integrated architecture only provides HoG as an atomic service unable to be combined with other services in the Language Grid.
Now, we utilize the composite language services in the Language Grid together with the multiple linguistic processing components in HoG.
The main contributions of this paper are (/') interoperability among various language services by creating new possible composition between multiple linguistic processing components of HoG and composite language services of the Language Grid; (/'/') a new functionality of language services available on the Web by enabling the substitution of language components in HoG with additional in the Language Grid and vice versa within integrated composition.
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Computer scientists have been trying to develop more and more infrastructures to improve the quality and accuracy of the services.
To utilize the language service more robustly, we need to integrate multiple infrastructures.
Two of the famous ongoing developments of language infrastructures are the
Language Grid (Ishida, 2006) and HoG (Heart of Gold; Schäfer, 2006). The Language Grid is a framework of collective intelligence built on service oriented architecture which enables access to various language services and language resources in the world based on a single powerful protocol, HTTP.
For the Language Grid, the more language resources it has the better it is for the availability of composite services.
Composite language service means the ability to create a new service by combining existing services.
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Composite language service means the ability to create a new service by combining existing services.
Heart of Gold (HoG) is also a framework that bridges user application and external natural language processing (NLP) components regardless the depth of the linguistic analysis.
This framework provides integration between deep and shallow NLP annotations.
Deep NLP applies as much linguistic knowledge as possible to analyze natural language sentences (Pollard & Sag, 1994). On the other hand, shallow NLP neglects the use of the whole range of linguistic details, but concentrates on specific aspects.
Only few shallow tools such as ChaSen and TreeTagger are provided by the Language Grid so far.
There are various natural language processing (NLP) functions in HoG which are not provided by the Language Grid, especially the efficient deep analyzers for various languages.
...".

Page 1: "...
Computer scientists have been trying to develop more and more infrastructures to improve the quality and accuracy of the services.
To utilize the language service more robustly, we need to integrate multiple infrastructures.
Two of the famous ongoing developments of language infrastructures are the
Language Grid (Ishida, 2006) and HoG (Heart of Gold; Schäfer, 2006). The Language Grid is a framework of collective intelligence built on service oriented architecture which enables access to various language services and language resources in the world based on a single powerful protocol, HTTP.
For the Language Grid, the more language resources it has the better it is for the availability of composite services.
Composite language service means the ability to create a new service by combining existing services.
...".